## 3.15 Unit 3 summary

### 3.15.1 You should be able to

Make a statistical estimate of a population parameter using a sample

• Make an estimate for a population parameter using a sample
• Determine the uncertainty in the estimate
• Create a bootstrap model to estimate the sampling variation
• Compute the margin of error and compatibility interval
• Write an appropriate conclusion that contains the estimate and accounts for uncertainty

Evaluate the generalizability of a study result by examining the external validity evidence for the study, including:

• Representativeness: Is the sample representative of the population
• Consider bias in the sampling method
• Uncertainty: Have the researchers accounted for uncertainty in the result?
• Consider sampling variation

### 3.15.2 You should understand

• Why the sample statistic is the best estimate for the population parameter
• How to interpret a margin of error and compatibility interval
• The distinction between bias and sampling variation
• The meaning of statistical bias and how it is related to representativeness
• How uncertainty is related to sampling variation

### 3.15.3 TinkerPlots™ skills

• Create a “bootstrap” sampler

### 3.15.4 Vocab

• Population
• Sample
• Bias
• Uncertainty
• Representative sample
• Sampling variation
• Bootstrap
• Compatibility interval (AKA: credible interval, confidence interval)
• Margin of error